Senior System Engineer/Architect TS/SCI

About the role

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Responsibilities

• Develop and refactor applications using modern programming languages such as Java, .NET, Python, Node.js, and JavaScript.
• Implement microservices architectures and containerized solutions using Docker and Kubernetes.
• Integrate applications with cloud platforms including AWS, Azure, IBM Cloud, and Google Cloud.
• Apply DevOps practices and tooling to support continuous integration, delivery, and monitoring.
• Migrate legacy codebases (e.g., COBOL, RPG, C++) to modern platforms and languages.
• Incorporate generative AI capabilities into application workflows where applicable.
• Design and implement secure, scalable, and maintainable database solutions.
• Support testing, debugging, and performance optimization throughout the development lifecycle.
• Build and consume RESTful APIs and OpenAPI specifications to enable seamless integration across systems.

Requirements

• Experience with modern programming languages such as Java, .NET, Python, Node.js, and JavaScript, including hands-on development and refactoring of applications.
• Experience with cloud platforms including AWS, Azure, IBM Cloud, and Google Cloud, as well as containerization using Docker and Kubernetes.
• Experience with designing and implementing microservices architectures, including building and consuming RESTful APIs and OpenAPI specifications.
• Experience with migrating legacy codebases to modern platforms and languages, including incorporating generative AI capabilities into application workflows.
• Experience with designing and implementing secure, scalable, and maintainable database solutions, including support for testing, debugging, and performance optimization.
• Active Top Secret Clearance with SCI access (must be able to maintain).

Preferred Qualifications

• Experience with incorporating generative AI capabilities (Watson, Azure OpenAI, Bedrock, Vertex AI) into application workflows.
• Exposure to DevOps practices and tooling, supporting continuous integration, delivery, and monitoring in cloud-based environments.

Preferred Education

Master's Degree